by Prescription Only
Now Available by Prescription Only
A New Path Forward.
Canvas Dx is the first FDA-authorized1 Software as a Medical Device (SaMD)2 that aids physicians in diagnosing autism spectrum disorder (ASD) in young children3
Canvas Dx harnesses clinically validated3 artificial intelligence (AI) technology to aid physicians in diagnosing ASD in children between the ages of 18 and 72 months who are at risk of developmental delay
Canvas Dx has the potential to facilitate early diagnosis in children with ASD3
How does Canvas Dx work?
Canvas Dx incorporates 3 separate, user-friendly inputs:3
A parent/caregiver questionnaire that asks about the child’s behavior and development collected via a parent/caregiver facing app
2 videos of the child interacting in their natural environment, recorded by the caregiver, then analyzed by a specially-trained video analyst*
An HCP questionnaire completed by a physician** who meets with the child and a parent/caregiver, collected via a healthcare provider portal
*Trained professional with at least a Master's degree and at least 5 years diagnosing and/or treating children with ASD.
**One of Canvas Dx’s device inputs is a 13 or 15 item age-dependent healthcare provider (HCP) questionnaire collected via a healthcare provider portal.
The Canvas Dx algorithm then evaluates all 3 inputs, generating a device output that the Primary Care Physician (PCP) utilizes in combination with their clinical judgement3
Why Canvas Dx?
Canvas Dx can aid PCPs in diagnosing ASD in children starting at 18 months of age3 during a critical period when interventions are shown to provide/lead to improved long-term outcomes.4-8
While a child as young as 18 months can be reliably diagnosed with ASD,9 multiple factors have driven the average age of diagnosis to 4 years and 2 months,10 an average delay of 3 years between parental concern and a formal ASD diagnosis.11
Long Wait Times
A shortage of specialists 12,13 and time-intensive evaluations14,15 result in long wait times for diagnostic appointments, causing substantial delays in diagnosis.16
Lack of Access
Children who are non-white, female, from rural areas or from disadvantaged socioeconomic backgrounds are often diagnosed later than the average delay reported or missed altogether.17-19
Because there is no standard diagnostic process for ASD and there are multiple types of specialists for referral, there is no clear pathway for PCPs.20
How AI Works
AI uses pattern recognition to uncover clinically meaningful relationships that exist between signs, symptoms, and behaviors. In addition, AI approaches are suitable for aiding medical diagnosis. They can unlock clinically relevant information hidden in healthcare data and identify complex non-linear patterns between patient features and diagnosis.22-25
How Canvas Dx Works
Canvas Dx harnesses the power of artificial intelligence (AI) to aid primary care physicians (PCPs) in the identification of autism spectrum disorder (ASD).3 Canvas Dx's AI / machine learning algorithm can be optimized to improve accuracy by training on new data.
The Canvas Dx algorithm (v2) was optimized by training on new data
and has the following performance metrics:
- Negative Predictive Value (NPV) of 95.6%
- Positive Predictive Value (PPV) of 87.5%
- Determinate rate (rate for Canvas Dx to provide either a positive or negative for ASD result) of 66.5%